napsack 0.1.0

NAPsack records and aggregates your computer use — screenshots plus input events (click, keypress, scroll, cursor move). It groups activity into event bursts and uses a VLM pipeline to generate human-readable captions describing what happened.

NAPsack

NAPsack records and structures your computer use by generating natural language caption from screenshots and input events (click, keypress, scroll, cursor move).

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Quickstart

Requires Python 3.11+ and ffmpeg for video generation. Use uv to run the commands below.

API Keys

NAPsack uses a VLM to generate captions. Create a .env file in the project root (or export variables in your shell):

cp .env.example .env

Then fill in the key for your chosen client:

Client	Variable	Where to get it
gemini (default)	GEMINI_API_KEY	Google AI Studio
vllm	(none — pass --vllm-url)	Self-hosted vLLM server
bigquery	(uses Application Default Credentials)	gcloud auth application-default login

For Gemini, your .env should contain:

GEMINI_API_KEY=your_key_here

Record a session (press CTRL+C to stop)

uv run -m record --monitor

Label the recorded session

uv run -m label --session logs/session_name --client gemini

NAPsack supports gemini and vllm for data labeling and integrates with big query

Output

logs/session_name
├── screenshots         # Recorded screenshots
├── aggregations.jsonl  # Recorded event bursts
├── captions.jsonl	    # All VLM-generated captions
├── annotated.mp4       # Final video showing generated captions and input events
└── data.jsonl          # Final data containing raw input events and LLM generated captions

Method

Record

NAPsack groups temporally adjacent input events of the same type into event bursts. An event is assigned to the current burst if the time since the preceding event of that type does not exceed the corresponding gap threshold and the elapsed time since the burst start remains within the max duration.

• If the gap threshold is exceeded, a new burst is started.
• If the max duration is exceeded, the first half of the current burst is finalized and saved, while the second half becomes the active burst. A burst is force-restarted when the active monitor changes.

Label

The label module:

• Loads sessions or raw screenshots and chunks.
• Uses prompts (in label/prompts) to instruct the VLM to generate captions that describe the user's actions and context.
• Produces captions.jsonl and data.jsonl (captions aligned to screenshots and events).
• Optionally renders an annotated video (annotated.mp4) showing captions and event visualizations overlayed on frames.

The label step performs a second layer of aggregation: it uses the bursts detected at recording time and further refines and annotates them with VLM outputs to create final human-readable summaries.